This specialist programme prepares you for an industrial career with advanced knowledge and practical experience in computing systems. It covers programming, networks, sensor technologies, machine learning, statistical modelling, computer science, AI, and IoT. The programme meets sector demands by training specialists who can manage data, understand business processes, and implement interconnected solutions. It is supported by multimillion-pound infrastructure, including pervasive computing labs, sensing technologies, and rapid prototyping facilities.
Join City University Qatar’s MSc in Artificial Intelligence and become a leader in the AI revolution. This programme equips students with advanced technical skills, hands-on experience with cutting-edge AI technologies, and the ability to drive innovation across global industries. With a strong emphasis on computing, robotics, and machine learning, graduates will be well-prepared for high-impact roles in fields such as healthcare, finance, telecommunications, and energy.
The MSc in Artificial Intelligence at City University Qatar mirrors the curriculum, learning outcomes, and academic standards of the UK-delivered programme. Ulster University’s MSc in Artificial Intelligence is accredited by BCS, The Chartered Institute for IT, for Partial CITP and Partial CEng. City University Qatar ensures complete alignment with these high-quality standards. Graduates may be eligible to apply for accreditation, membership, or further professional qualifications with relevant regulatory bodies, subject to the specific requirements of their chosen jurisdiction and career pathway.
Students will benefit from specialised modules in Data Science, Deep Learning, Robotics & AI, and Knowledge Engineering, with a strong focus on real-world applications. Delivered at our state-of-the-art Lusail City campus, this programme integrates practical projects and industry case studies, ensuring graduates are equipped with the skills needed to excel in the evolving world of AI.
I Will Learn
– Core knowledge of AI, including computer science, mathematics, programming, and software engineering.
– Advanced skills in data science, machine learning, deep learning, robotics, and knowledge engineering.
– How to critically evaluate, design, and build AI applications for real-world scenarios.
– Awareness of emerging and advanced topics in AI, including ethics, privacy, and fairness in AI.
Hands-on Experience
– Practical projects and lab work in robotics, deep learning, and data analytics.
– Independent Master’s Project (60 credits) where students undertake research and develop solutions for real-world applications.
Why Ulster Programme?
– Ulster University has over 25 years of research leadership in AI.
– Ranked 2nd in the UK for Information Systems and Management (The Times Good University Guide 2025).
To qualify for our Master’s programme, applicants must meet all of the following criteria:
– A lower second-class honours degree (GPA 2.8) or better in relevant fields such as Computer Science, Software Engineering, Electronic Engineering, Electrical Engineering, Games Design and Development, Digital Media Production, Mathematics, or Physics from a recognised institution.
– IELTS 6.0 with no less than 5.5 in any one band, or equivalent such as the Ulster University Password English Placement Test.
– If you do not meet these requirements, the university offers support programmes to enhance your English and academic skills.
The course structure offers a full-time 12-month completion or a more flexible part-time study over 24 months. The programme is structured into three semesters for a full-time student or five semesters for part time students, comprising six mandatory taught modules and a significant research project. Each module is valued at 20 credits, and the Master’s project is worth 60 credits.
SEMESTER 1
•Knowledge Engineering
•Emerging and Advanced Topics in AI
•Intelligence Engineering and Infrastructure
SEMESTER 2
•Data Science and Machine Learning
•Robotics and AI
•Deep Learning and Its Application
SEMESTER 3
•Masters Project
